manifest({
   "http://www.numericjs.com/lib/numeric-1.0.0.js" : {
          "name" : "NumericJS",
            "description" : "Matrix algebra library created by Sebastien Loisel. This module will be used in many lmat modules",
              "url" : "http://compstats.mathbiol-lena.googlecode.com/hg/numeric-1.0.0.js"
    },
    
      "http://compstats.mathbiol-lena.googlecode.com/hg/scruffy.js" : {
        "name" : "Scruffy Computational Statistics",
          "description" : "A compilation of functions for computational statistics",
            "url" : "http://compstats.mathbiol-lena.googlecode.com/hg/scruffy.js"
      },
        
   "http://analytics.mathbiol-lena.googlecode.com/hg/dendroheat/dendrogram.js" : {
	"name" : "dendrogram",
	"description": "Module to build a dendrogram given some raw data organized as a structured object",
	"url" : "http://analytics.mathbiol-lena.googlecode.com/hg/dendroheat/dendrogram.js"	,
	"exampleUsage" : "http://analytics.mathbiol-lena.googlecode.com/hg/dendroheat/dendroheat.html"

   },

   "http://compstats.mathbiol-lena.googlecode.com/hg/linearRegression.js" : {
	"name" : "linearRegression",
	"description": "Calculate a linear regression based using cost function and batch gradient descent",
	"url" : "http://compstats.mathbiol-lena.googlecode.com/hg/linearRegression.js" 
    },
    "http://compstats.mathbiol-lena.googlecode.com/hg/multivariateLinearRegression.js": {
      "name" : "Multivariate Linear Regression",
      "description" : "Use closed form for calculating multivariate linear regression. Note that numeric.js is a required library",
      "url" : "http://compstats.mathbiol-lena.googlecode.com/hg/multivariateLinearRegression.js"
      }       
 });